Interview with Noah Golowich - Theoretical Foundations for Learning in Games and Dynamic Environments

Noah Golowich is a Postdoctoral Researcher at Microsoft Research, and an incoming Assistant Professor of Computer Science at the University of Texas at Austin. His research interests lie in the theoretical aspects of machine learning, with a particular focus on understanding the role that computational constraints play in shaping our current and future toolkit of algorithms for machine learning and AI. His research has studied connections between multi-agent learning, game theory, online learning, and theoretical reinforcement learning. He was supported by a Fannie & John Hertz Foundation Fellowship and an NSF Graduate Fellowship during his PhD.